Simultaneous design of the gear ratio and gearshift strategy for a parallel hybrid electric vehicle equipped with AMT

2012 ◽  
Vol 58 (2/3/4) ◽  
pp. 291 ◽  
Author(s):  
Morteza Montazeri Gh ◽  
Zeinab Pourbafarani
Keyword(s):  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Gear Ratio ◽  
Parallel Hybrid Electric Vehicle ◽  
Simultaneous Design ◽  
Parallel Hybrid ◽  
Hybrid Electric

Optimal Gear Ratio and Gear Shift Strategy Design for a Parallel Hybrid Electric Vehicle Equipped With AMT

2010 ◽  
Author(s):  
Morteza Montazeri-Gh ◽  
Zeinab Pourbafarani ◽  
Hassan Nehzati
Keyword(s):  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Fitness Function ◽  
Gear Ratio ◽  
Optimization Constraints ◽  
Parallel Hybrid Electric Vehicle ◽  
Shifting Strategy ◽  
Parallel Hybrid ◽  
Hybrid Electric ◽  
Optimal Approach

This paper presents an optimal approach for the design of gear ratios and gear shifting strategy for parallel hybrid electric vehicle (HEV) equipped with automated manual transmission (AMT). For this purpose, an AMT model is firstly provided and integrated with a pre-transmission parallel HEV model to develop a comprehensive simulation tool for vehicle powertrain performance evaluation. Using genetic algorithm (GA), an optimization problem is then formulated for the optimal design of the AMT variables including its gear ratios as well as the variables defined for the gear shifting strategy. A weighted aggregation of the HEV fuel consumption and emissions is also employed as the fitness function. In addition, the vehicle driving performance characteristics are considered as the optimization constraints. To optimize the gearshift strategy and gear ratios, GA optimization process is performed for several traffic conditions. The results show that the approach is quite effective. A considerable improvement is achieved at congested condition due to its sensitivity to the stop-start operation of the vehicle.

Research on Dynamic Torque Control Strategy for Parallel Hybrid Electric Vehicle

2011 ◽  
Vol 228-229 ◽  
pp. 951-956 ◽  
Author(s):  
Yun Bing Yan ◽  
Fu Wu Yan ◽  
Chang Qing Du
Keyword(s):  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Control Algorithm ◽  
Dynamic Control ◽  
Torque Control ◽  
Engine Torque ◽  
Parallel Hybrid Electric Vehicle ◽  
Torque Control Strategy ◽  
Parallel Hybrid ◽  
Hybrid Electric

It is necessary for Parallel Hybrid Electric Vehicle (PHEV) to distribute energy between engine and motor and to control state-switch during work. Aimed at keeping the total torque unchanging under state-switch, the dynamic torque control algorithm is put forward, which can be expressed as motor torque compensation for engine after torque pre-distribution, engine speed regulation and dynamic engine torque estimation. Taking Matlab as the platform, the vehicle control simulation model is built, based on which the fundamental control algorithm is verified by simulation testing. The results demonstrate that the dynamic control algorithm can effectively dampen torque fluctuations and ensures power transfer smoothly under various state-switches.

Fuzzy Torque Distribution Control for a Parallel Hybrid Electric Vehicle

2001 ◽  
Author(s):  
Jong-Seob Won ◽  
Reza Langari
Keyword(s):  
Electric Vehicle ◽  
Energy Management ◽  
Hybrid Electric Vehicle ◽  
Energy Management Strategy ◽  
Torque Distribution ◽  
Parallel Hybrid Electric Vehicle ◽  
Cycle Simulation ◽  
Mode Of Operation ◽  
Parallel Hybrid ◽  
Hybrid Electric

Abstract A fuzzy torque distribution controller for energy management (and emission control) of a parallel-hybrid electric vehicle is proposed. The proposed controller is implemented in terms of a hierarchical architecture which incorporates the mode of operation of the vehicle as well as empirical knowledge of energy flow in each mode. Moreover, the rule set for each mode of operation of the vehicle is designed in view of an overall energy management strategy that ranges from maximal emphasis on battery charge sustenance to complete reliance on the electrical power source. The proposed control system is evaluated via computational simulations under the FTP75 urban drive cycle. Simulation results reveal that the proposed fuzzy torque distribution strategy is effective over the entire operating range of the vehicle in terms of performance, fuel economy as well as emissions.

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